Members

  • Title icon Director

Ching-Yao, Huang(Hank) 黃經堯 教授

Research Fields

  • Edge Computing related – Orchestration, optimization, security and AI algorithms for various applications.
  • Wireless Communication
  • Wireless Transmission
  • Resource Management
  • High-speed System Design
  • Resource Access Technology of Communication Systems

Education

  • PhD in Electrical and Computer Engineering, Rutgers University

Experiences

  • Professor, Department of Electronics Engineering (電子工程學系 教授 since 2002)
  • Adjunct Professor, Research Institute of Technology
  • Management (科技管理研究所合聘教授 since 2016)
  • Director, Center of Industry Accelerator and Patent Strategy (產業加速器暨專利開發策略中心 主任 since 2013)
  • Founder and Chief Adviser, Fiducia Technologies Inc. (邊信聯科技股份有限公司 since 2020)
  • Director, Venture Lab Program (創業實驗室 主任 since 2016)
  • Chairman, Asia Pacific Accelerator Network Association (亞太加速器協會 since 2019)
  • Adjunct Research Fellow, Board of Science and Technology, Executive Yuan (行政院科技會報 兼任研究員 since 2016)
  • National Information and Communications Initiative (NICI) Committee (國家通訊傳播委員會民間諮詢委員 since 2016)
  • Chairman, Asian Association of Business Incubation (亞洲育成協會 2018-2019)
  • Chairman, Chinese Business Incubation Association (中華創業育成協會 理事長 2016-2019)
  • Adjunct Professor, Rutgers University and New Jersey Institute of Technology (9/2001-6/2002)
  • Member of Technical Staff, Lucent Technologies, Whippany, New Jersey (11/1996-11/2002)
  • Senior Engineer, Contractor for Bell Labs and Lucent Technologies, Advantax Management, New York, NY (9/1995-11/1996)
  • Title icon Lab Groups

5G Team

We intend to offer optimized performance and URLLC for various industrial 5G use cases through real-time redundant resource management and efficient network slicing through distributed servers on the edge/RSUs and achieve a 5G implementation of the scenario meeting the required deployment relevant challenges

Iqra Mustafa

Ph.D. student, EECS International Graduate Program, NYCU (2017-Present)
Amazon Web Services, Ryu, Mininet, Glpk, Labview

Master II Students

M.S. student from Electrical Engineering, NYCU since 2023

Chun-Yen, Wang (Ryan)

M.S. student from Electrical Engineering, NYCU 

Wei Lun, Lee (Allen)

M.S. student from Electrical Engineering, NYCU

Yong Min, Lin (Lynn)

M.S. student from Electrical Engineering, NYCU 

Jia Jyun, You (Jim)

M.S. student from Institute of Computer and Communications Security, NYCU

Zheng Ru, Wen(David)

M.S. student from Electrical Engineering, NYCU 

Chung Lun, Huang (Warren)

M.S. student from Electrical Engineering, NYCU

Ting Han, Hsu (Angela)

M.S. student from Institute of Computer and Communications Security, NYCU 

Jing Jie, Chiu (Jeffery)

M.S. student from Electrical Engineering, NYCU

Master l Students

M.S. student from Electrical Engineering, NYCU since 2024

Ching Wen, Huang (Sonya)

M.S. student from Electrical Engineering, NYCU

Chien Cheng, Chiang (Jeff)

M.S. student from Electrical Engineering, NYCU

Chieh Ju, Tsai (Oliver)

M.S. student from Electrical Engineering, NYCU 

Yi Yun, Hsiao (Hsiao)

M.S. student from Electrical Engineering, NYCU

HSIANG TING, HUANG (Aurora)

M.S. student from Institute of Computer and Communications Security, NYCU 

Chun Hao, Shih (Aaron)

M.S. student from Electrical Engineering, NYCU

  • Title icon Alumni
Alumni 2024
Pin Yang, Lin
MS
Chih-Ming,Liu
MS
Chia Hung, Weng
MS
Chien Wen, Wang
MS
Bo Tong, Shi
MS
Yao Wen, Chang
MS
Yu, Lin
MS
Chiao Yen, Lo
MS
Kai Hsiang, Chang
MS
Alumni 2023
Tsung Chi, Ma
MS
Cardiovascular Diseases Classification Based on 12-lead ECG signal,
Knowledge Distillation and Deep Learning
Yen Tzu, Chiang
MS
Ensemble Learning for Data Augmentation based 12-lead Electrocardiograms
Classification
Cheng Tse, Hsieh
MS
The Application of Ensemble-Based Explainable AI - Multi-label
Cardiovascular Disease Classification Based on 12-lead ECG
Mong Tse, Lee
MS
Classification of Cardiovascular Diseases Using 12-Lead ECG Signal
and Contrastive Learning
Tsu Ming, Chang
MS
Fast Adversarial Training for Deep Learning-Based DDoS Detection On SDN
Dun Pei, Liao
MS
Jung Hsien, Chang
MS
Shu Yu, Wang
MS
Cheng Che, Tsai
MS
Bo Yu, Mo
MS
Alumni 2022
Cheng Cheng, Lo
MS
BPF-based Lof Integrity Protection for Container
Tzu Hsuan, Lo
MS
Lawn Disease Detection Based on UAV Multispectral Imaging,
Spectral Vegetation Index and Deep Learning
Shan Yun, Lin
MS
Soil Moisture Estimation System Based on UAV Multispectral Imagery
and Machine Learning
Kuo Che, Chiu
MS
An Approach to Secure Edge Computing Application Data Using
Authentication and Data Encryption
Tzu Hsuan, Huang
MS
An Approach to Secure Edge Computing Application Data Using
Authentication and Data Encryption
Alumni 2021
Yi Fan, Tsai
MS
Intelligent Self-Organizing Network using BLE
for Fall Detection System in the real Deployment
Yu Chun, Huang
MS
Lawn Divot Detection Based on UAV Multispectral Imagery
and Deep Learning
Yu Min, Fang
MS
PM2.5 Early Warning System Based on Data Decomposition
and Machine Learning
Ching Chi, Kang
MS
Nitrogen Estimation System Based on UAV Multispectral Imaging
and Machine Learning
Cheng De, Lai
MS
OM2M based fall down control system designs
Naga Vijaya Gogineni
MS
Machine Learning Workflow in O-RAN RIC Plateform
Alumni 2020
Hojjat Baghban
Ph. D
Efficient Resource Provisioning in
Federated Edge Computing Ecosystem
Po Chun, Yang
MS
Secure Over-the-Air Software Update to Registered Edge Nodes
Hsin Yu, Hsu
MS
AI-Enabled Efficacy Analysis of Daily Dynamic
Skincare Treatment Based on Integrated Prediction Model
Yu Jen, Tsao
MS
Smart Base Station Signal Monitoring System
Based on Machine Learning
Ali Abbas
MS
GeoVALTER Lab Management System
based on IPS using Ultra Wideband Technology
Alumni 2019
Sohail Anjum
MS
Container Orchestration in Fog Computing using Kubernetes
Xiu Min, Zhang
MS
Event-based Kernel Density Estimation for Detecting Parking Violation
Alumni 2018
Maria Barbara Safianowska
Ph. D
Revenue maximization using auctions for perishable XaaS resource markets
Chieh, Lou
MS
OpenFog NCTU Testbed